Title:
Toward a Unified Governance Architecture (UGA): An Integrated Model for Adaptive, AI-Enabled, Event-Validated, Cross-Sector Governance Systems

Authors:
Dr. Robb Shawe, USA

Abstract:

Governance systems across sectors increasingly rely on artificial intelligence, real‑time sensing, cyber‑physical integration, and event‑validated learning to manage complex operational environments. However, these capabilities often evolve in isolation, resulting in fragmented oversight, inconsistent decision‑making, and governance blind spots. This manuscript introduces the Unified Governance Architecture (UGA). This comprehensive, multi-layer governance model integrates the Adaptive Governance Systems Framework (AGSF), the AI‑Enabled Governance Oversight Model (AIGOM), the Governance Maturity Model (GMM), the Event‑Validated Governance (EVG) Framework, the Governance Translation Framework (GTF), and the Cyber‑Physical Governance Framework (CPGF). The UGA provides a coherent, end‑to‑end governance architecture that spans sensing, analytics, oversight, validation, translation, and executive decision‑making. The model supports cross‑sector governance modernization, institutional resilience, and real‑time performance alignment in complex, AI‑enabled environments.

DOI: http://dx.doi.org/10.51505/ijaemr.2026.11330